{ "best_metric": null, "best_model_checkpoint": null, "epoch": 20.0, "eval_steps": 500, "global_step": 5000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.4, "learning_rate": 5e-05, "loss": 2.1914, "step": 100 }, { "epoch": 0.8, "learning_rate": 5e-05, "loss": 1.798, "step": 200 }, { "epoch": 1.0, "eval_accuracy": 0.6067341772151899, "eval_loss": 1.8213441371917725, "eval_runtime": 4.582, "eval_samples_per_second": 109.122, "eval_steps_per_second": 13.749, "step": 250 }, { "epoch": 1.2, "learning_rate": 5e-05, "loss": 1.7534, "step": 300 }, { "epoch": 1.6, "learning_rate": 5e-05, "loss": 1.7163, "step": 400 }, { "epoch": 2.0, "learning_rate": 5e-05, "loss": 1.7, "step": 500 }, { "epoch": 2.0, "eval_accuracy": 0.6077215189873417, "eval_loss": 1.8046445846557617, "eval_runtime": 5.1239, "eval_samples_per_second": 97.582, "eval_steps_per_second": 12.295, "step": 500 }, { "epoch": 2.4, "learning_rate": 5e-05, "loss": 1.5854, "step": 600 }, { "epoch": 2.8, "learning_rate": 5e-05, "loss": 1.5869, "step": 700 }, { "epoch": 3.0, "eval_accuracy": 0.6071392405063291, "eval_loss": 1.829284906387329, "eval_runtime": 5.0393, "eval_samples_per_second": 99.221, "eval_steps_per_second": 12.502, "step": 750 }, { "epoch": 3.2, "learning_rate": 5e-05, "loss": 1.5039, "step": 800 }, { "epoch": 3.6, "learning_rate": 5e-05, "loss": 1.4165, "step": 900 }, { "epoch": 4.0, "learning_rate": 5e-05, "loss": 1.4349, "step": 1000 }, { "epoch": 4.0, "eval_accuracy": 0.6042784810126582, "eval_loss": 1.89736008644104, "eval_runtime": 4.5584, "eval_samples_per_second": 109.688, "eval_steps_per_second": 13.821, "step": 1000 }, { "epoch": 4.4, "learning_rate": 5e-05, "loss": 1.2624, "step": 1100 }, { "epoch": 4.8, "learning_rate": 5e-05, "loss": 1.3111, "step": 1200 }, { "epoch": 5.0, "eval_accuracy": 0.601493670886076, "eval_loss": 1.9769378900527954, "eval_runtime": 4.4063, "eval_samples_per_second": 113.474, "eval_steps_per_second": 14.298, "step": 1250 }, { "epoch": 5.2, "learning_rate": 5e-05, "loss": 1.226, "step": 1300 }, { "epoch": 5.6, "learning_rate": 5e-05, "loss": 1.1608, "step": 1400 }, { "epoch": 6.0, "learning_rate": 5e-05, "loss": 1.197, "step": 1500 }, { "epoch": 6.0, "eval_accuracy": 0.599240506329114, "eval_loss": 2.0634872913360596, "eval_runtime": 4.8833, "eval_samples_per_second": 102.389, "eval_steps_per_second": 12.901, "step": 1500 }, { "epoch": 6.4, "learning_rate": 5e-05, "loss": 1.0336, "step": 1600 }, { "epoch": 6.8, "learning_rate": 5e-05, "loss": 1.0729, "step": 1700 }, { "epoch": 7.0, "eval_accuracy": 0.5975443037974684, "eval_loss": 2.1523237228393555, "eval_runtime": 4.8877, "eval_samples_per_second": 102.297, "eval_steps_per_second": 12.889, "step": 1750 }, { "epoch": 7.2, "learning_rate": 5e-05, "loss": 1.0005, "step": 1800 }, { "epoch": 7.6, "learning_rate": 5e-05, "loss": 0.9437, "step": 1900 }, { "epoch": 8.0, "learning_rate": 5e-05, "loss": 0.9833, "step": 2000 }, { "epoch": 8.0, "eval_accuracy": 0.5947341772151898, "eval_loss": 2.2639756202697754, "eval_runtime": 4.3964, "eval_samples_per_second": 113.73, "eval_steps_per_second": 14.33, "step": 2000 }, { "epoch": 8.4, "learning_rate": 5e-05, "loss": 0.823, "step": 2100 }, { "epoch": 8.8, "learning_rate": 5e-05, "loss": 0.8672, "step": 2200 }, { "epoch": 9.0, "eval_accuracy": 0.5924050632911393, "eval_loss": 2.3642578125, "eval_runtime": 4.6579, "eval_samples_per_second": 107.345, "eval_steps_per_second": 13.526, "step": 2250 }, { "epoch": 9.2, "learning_rate": 5e-05, "loss": 0.8032, "step": 2300 }, { "epoch": 9.6, "learning_rate": 5e-05, "loss": 0.7566, "step": 2400 }, { "epoch": 10.0, "learning_rate": 5e-05, "loss": 0.7883, "step": 2500 }, { "epoch": 10.0, "eval_accuracy": 0.5908101265822785, "eval_loss": 2.4598007202148438, "eval_runtime": 4.6476, "eval_samples_per_second": 107.582, "eval_steps_per_second": 13.555, "step": 2500 }, { "epoch": 10.4, "learning_rate": 5e-05, "loss": 0.6488, "step": 2600 }, { "epoch": 10.8, "learning_rate": 5e-05, "loss": 0.6879, "step": 2700 }, { "epoch": 11.0, "eval_accuracy": 0.588987341772152, "eval_loss": 2.5668857097625732, "eval_runtime": 4.4085, "eval_samples_per_second": 113.416, "eval_steps_per_second": 14.29, "step": 2750 }, { "epoch": 11.2, "learning_rate": 5e-05, "loss": 0.6502, "step": 2800 }, { "epoch": 11.6, "learning_rate": 5e-05, "loss": 0.602, "step": 2900 }, { "epoch": 12.0, "learning_rate": 5e-05, "loss": 0.6295, "step": 3000 }, { "epoch": 12.0, "eval_accuracy": 0.5885316455696202, "eval_loss": 2.700011730194092, "eval_runtime": 4.8719, "eval_samples_per_second": 102.63, "eval_steps_per_second": 12.931, "step": 3000 }, { "epoch": 12.4, "learning_rate": 5e-05, "loss": 0.5228, "step": 3100 }, { "epoch": 12.8, "learning_rate": 5e-05, "loss": 0.5545, "step": 3200 }, { "epoch": 13.0, "eval_accuracy": 0.5850886075949367, "eval_loss": 2.8281185626983643, "eval_runtime": 4.4033, "eval_samples_per_second": 113.551, "eval_steps_per_second": 14.307, "step": 3250 }, { "epoch": 13.2, "learning_rate": 5e-05, "loss": 0.5244, "step": 3300 }, { "epoch": 13.6, "learning_rate": 5e-05, "loss": 0.4924, "step": 3400 }, { "epoch": 14.0, "learning_rate": 5e-05, "loss": 0.5208, "step": 3500 }, { "epoch": 14.0, "eval_accuracy": 0.5852911392405064, "eval_loss": 2.879397392272949, "eval_runtime": 4.703, "eval_samples_per_second": 106.315, "eval_steps_per_second": 13.396, "step": 3500 }, { "epoch": 14.4, "learning_rate": 5e-05, "loss": 0.4405, "step": 3600 }, { "epoch": 14.8, "learning_rate": 5e-05, "loss": 0.4679, "step": 3700 }, { "epoch": 15.0, "eval_accuracy": 0.586253164556962, "eval_loss": 2.9183950424194336, "eval_runtime": 4.5629, "eval_samples_per_second": 109.579, "eval_steps_per_second": 13.807, "step": 3750 }, { "epoch": 15.2, "learning_rate": 5e-05, "loss": 0.4443, "step": 3800 }, { "epoch": 15.6, "learning_rate": 5e-05, "loss": 0.4235, "step": 3900 }, { "epoch": 16.0, "learning_rate": 5e-05, "loss": 0.4464, "step": 4000 }, { "epoch": 16.0, "eval_accuracy": 0.5852151898734177, "eval_loss": 3.0790698528289795, "eval_runtime": 4.6021, "eval_samples_per_second": 108.647, "eval_steps_per_second": 13.689, "step": 4000 }, { "epoch": 16.4, "learning_rate": 5e-05, "loss": 0.3919, "step": 4100 }, { "epoch": 16.8, "learning_rate": 5e-05, "loss": 0.4136, "step": 4200 }, { "epoch": 17.0, "eval_accuracy": 0.5855696202531645, "eval_loss": 3.0832109451293945, "eval_runtime": 5.1254, "eval_samples_per_second": 97.553, "eval_steps_per_second": 12.292, "step": 4250 }, { "epoch": 17.2, "learning_rate": 5e-05, "loss": 0.3902, "step": 4300 }, { "epoch": 17.6, "learning_rate": 5e-05, "loss": 0.3841, "step": 4400 }, { "epoch": 18.0, "learning_rate": 5e-05, "loss": 0.4021, "step": 4500 }, { "epoch": 18.0, "eval_accuracy": 0.5846835443037974, "eval_loss": 3.0944228172302246, "eval_runtime": 4.5552, "eval_samples_per_second": 109.765, "eval_steps_per_second": 13.83, "step": 4500 }, { "epoch": 18.4, "learning_rate": 5e-05, "loss": 0.3577, "step": 4600 }, { "epoch": 18.8, "learning_rate": 5e-05, "loss": 0.3776, "step": 4700 }, { "epoch": 19.0, "eval_accuracy": 0.5828354430379746, "eval_loss": 3.2120306491851807, "eval_runtime": 4.7023, "eval_samples_per_second": 106.332, "eval_steps_per_second": 13.398, "step": 4750 }, { "epoch": 19.2, "learning_rate": 5e-05, "loss": 0.3617, "step": 4800 }, { "epoch": 19.6, "learning_rate": 5e-05, "loss": 0.3575, "step": 4900 }, { "epoch": 20.0, "learning_rate": 5e-05, "loss": 0.373, "step": 5000 }, { "epoch": 20.0, "eval_accuracy": 0.5839240506329114, "eval_loss": 3.229841947555542, "eval_runtime": 4.7155, "eval_samples_per_second": 106.033, "eval_steps_per_second": 13.36, "step": 5000 }, { "epoch": 20.0, "step": 5000, "total_flos": 3.1967425075347456e+17, "train_loss": 0.8756309669494629, "train_runtime": 3519.8357, "train_samples_per_second": 45.457, "train_steps_per_second": 1.421 } ], "logging_steps": 100, "max_steps": 5000, "num_train_epochs": 20, "save_steps": 500, "total_flos": 3.1967425075347456e+17, "trial_name": null, "trial_params": null }